Staff Validation Systems Engineer, AI Validation

Overview

In this AI Validation role, you translate product and safety needs into validated evidence for ADAS and L2 autonomy. You’ll work with cross-functional partners to define validation plans, scenarios and acceptance criteria, and to run tests across simulation and real environments. You’ll shape verification strategies that align with automotive standards and OEM expectations, delivering reliable evidence for release decisions. This is a hands-on, impact-driven role at Wayve, with opportunities to lead validation delivery or provide technical ownership depending on seniority.

Pay / Benefits

• salaries benchmarked against market
• meaningful equity
• relocation support and visa sponsorship
• hybrid working and workshops access
• learning and development support
• comprehensive health and wellbeing benefits

Responsibilities

• Translate product, systems and safety requirements into validation strategies, test scenarios, metrics, coverage, and acceptance criteria
• Develop and implement test suites spanning simulation and physical testing environments
• Build and manage evaluation tooling, pipelines, data analysis, and automated validation execution
• Coordinate data, simulation, and evaluation dependencies to enable scalable, reliable validation
• Analyse results, communicate risks and evidence to stakeholders (Product, Safety, Release, Autonomy)
• Translate customer, OEM, safety, and regulatory expectations into validation evidence
• Lead validation delivery across the team (M4) or provide senior technical ownership (TC4)
• Align validation work with automotive OEM development, SOTIF, and industry standards

Key requirements

• Understanding of how automotive companies and OEMs validate ADAS/L2 products
• Ability to translate expectations into structured validation plans
• Hands-on experience building scenarios, metrics, test suites, evaluation pipelines, or data-analysis workflows
• Proficiency in Python and comfort with SQL or similar large-scale analysis tools
• Experience validating complex systems in simulation, real world, or both
• Clear communication, documentation, and ownership of ambiguous problems from concept to evidence and recommendation
• ML, computer vision, motion planning, SOTIF, or modern AI-tooling experience is advantageous
• Experience leading people or coordinating a validation function for M4; strong senior IC ownership for TC4

• clear communication
• ownership
• cross-functional collaboration
• Python
• SQL
• evaluation pipelines

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